Azure Data Factory vs. Amazon Redshift
A side-by-side comparison based on G2 review data.
| Metric | Azure Data Factory | Amazon Redshift |
|---|---|---|
| Overall rating | 4.6 | 4.3 |
| Review count | 102 | 404 |
| Ease of use | 9.1 | 8.9 |
| Ease of setup | 9.2 | 8.8 |
| Quality of support | 9.0 | 8.7 |
| Meets requirements | 9.3 | 8.9 |
| NPS | 76.28866 | 53.369272 |
| Small Business | 11.9% | 20.6% |
| Mid-Market | 28.7% | 39.3% |
| Enterprise | 59.4% | 40.0% |
| Total page views | 445 | 511 |
| Total LLM citations | 1,119 | 5,954 |
Azure Data Factory
Azure Data Factory (ADF) is a fully managed, serverless data integration service designed to simplify the process of ingesting, preparing, and transforming data from diverse sources. It enables organizations to construct and orchestrate Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows in a code-free environment, facilitating seamless data movement and transformation across on-premises and cloud-based systems.
- Data Integration
- Ease of Use
- Integrations
- Scalability
- Connectors
- Simple
Amazon Redshift
Tens of thousands of customers use Amazon Redshift, a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. It is optimized for datasets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.
- Integrations
- Ease of Use
- Fast Querying
- Scalability
- Easy Integrations
- Performance